Abstract:
There are commercial pivate buildings construction project delays with in the stud areas as a result,
this study aimed to empirically investigate factors that affect timely completion of commercial private
building construction projects in Jimma town from six delay causing factors components namely:
material related, equipment related, finance related, contractor related, client related and external
related. A theoretical framework was used as a guideline to test the effect of these variables on timely
project completion from the relevant literatures.The research methodology was questioner and
interviewin data collectio process.Stratified sampling technique was employed and a questionnaire
was distributed to a sample of 60respondents. However, only 54of the questionnaires were filled and
returend and hence, the response rate was 90 percent. Besides, descriptive statistical tools like percentage and frequency were used to illustrate the demographic characteristics of the respondents and
to assess the perception of respondents from data collected through questionnaire and the study revealed that majority of the respondents feel strongly agreed on those delay causing components.
Thus, inferential statistical methods like correlation analysis was used to assess the relationship between delay causing factors and timely project completion, multiple linear regression analysis also
was employed to examine factors affecting on timely project completion by using primary data collected through five point likert scale questionnaire.In the finding process; factors are positively correlated. such as:material(r=.470, p<0.01) which is low relation ship, equipment which is modarete
(r=.669, p< 0.01), finance (r=.507, p< 0.01) moodarete,conractor (r=.572,
p< 0.01) modarete relation ship, client (r=.775, p<0.01) high relationship and external (r= .381, p< 0.01) are low relation
ship.I In multi regression results of this study 83.9% of R square implies change in variation of all
six independent variable can eplain the study while the rest 16.1% can be explained by the
unincluded variable.Again the result also shows adjusted R square of (0.818)some idea of how well
the model generalize.The other one is (0.33775) of the standard error shows the measure of the variability of the multi correlation as much as this numerical.These shows the multi regression analsis
resultsof all explanatory variables have significant effect on timely project completion. Therefore,
owners, contractors, consultants & government should focus on those delay causing factors in minimizing & averting so as to achieve and maintain timely project completion.
